RAG (retrieval-augmented generation)
DefinitionAI
RAG (retrieval-augmented generation)
Retrieval-augmented generation: the model looks up relevant documents from a trusted source first and answers from what it found, instead of from memory alone. The standard cure for hallucination in company chatbots and knowledge tools - the model cites your library, not its imagination.
Evidence from the library
Freshness is a retrieval signal now, because retrieval only fires on topics the model does not already knowPrinciple82%Generative AI use is mainstream, from research all the way to companionshipStatEach AI assistant has its own source diet, so one visibility strategy cannot serve all threePrincipleMemory-generated brands are the starting point of the buying process, not searchPrincipleCommunication now has two audiences, and one of them reads RedditPrinciple
Source
Marketing Definitions
Lewis et al., Retrieval-Augmented Generation (2020); standard AI practice